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Mixtape-Sessions

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Mixtape Sessions

Mixtape Sessions aims to provide high-quality and approachable courses in Casual Inference. Multiple times per year our Causal-Inference Democratizer in Chief, Scott Cunningham, hosts our "Mixtape Sessions" which are our flagship, multi-day workshops aimed towards early causal-inference learners. We also welcome researchers working on the frontier of causal inference methods to host "Mixtape Tracks" which are shorter workshops aimed at advanced topics.

Online Material

A goal of ours is to create a body of high-quality lecture material that individuals can access for free as a byproduct of our company. In this github organization, you will find repositories containing our (growing!) library of workshops:

Mixtape Sessions

This two-part series is designed to survey the large and complicated field of causal inference following the structure of Scott Cunninghams's book, Causal Inference: The Mixtape . We will review the theory behind each of these research designs in detail with the aim being comprehension, competency and confidence.

Causal Inference 1 Causal Inference 2 Causal Inference 3

Mixtape Tracks

These shorter courses are taught by a leading researcher focusing on specific topics.

Instrumental Variables Doing Applied Research Synthetic Control and Clustering Doing Applied Research Machine Learning and Causal Inference Machine Learning and Heterogeneous Effects Advanced Difference-in-Differences Shift-Share IV Frontiers in Difference-in-Differences Demand Estimation

Support and Questions

If you have any questions, please send us an email at causalinf@mixtape.consulting!

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Repositories

Showing 10 of 21 repositories
  • Causal-Inference-2 Public

    Causal Inference II Mixtape Session taught by Scott Cunningham

    Mixtape-Sessions/Causal-Inference-2’s past year of commit activity
    HTML 178 142 0 0 Updated Dec 19, 2024
  • Synthetic-Control-and-Clustering Public

    Synthetic-Control-and-Clustering taught by Alberto Abadie

    Mixtape-Sessions/Synthetic-Control-and-Clustering’s past year of commit activity
    44 30 0 0 Updated Dec 19, 2024
  • Shift-Share Public

    Shift-Share Instrument Mixtape Track taught by Peter Hull

    Mixtape-Sessions/Shift-Share’s past year of commit activity
    TeX 81 72 0 0 Updated Dec 19, 2024
  • Regression-Discontinuity Public

    Regression Discontinuity Mixtape Track taught by Rocio Titiunik

    Mixtape-Sessions/Regression-Discontinuity’s past year of commit activity
    Stata 45 36 0 0 Updated Dec 19, 2024
  • Machine-Learning Public

    Machine Learning and Causal Inference taught by Brigham Frandsen

    Mixtape-Sessions/Machine-Learning’s past year of commit activity
    Jupyter Notebook 191 89 0 0 Updated Dec 19, 2024
  • Frontiers-in-DID Public

    Frontiers in Difference-in-Differences taught by Brantly Callaway

    Mixtape-Sessions/Frontiers-in-DID’s past year of commit activity
    HTML 27 17 0 0 Updated Dec 19, 2024
  • Heterogeneous-Effects Public

    Machine Learning and Heterogeneous Effects taught by Brigham Frandsen

    Mixtape-Sessions/Heterogeneous-Effects’s past year of commit activity
    Scheme 44 34 0 0 Updated Dec 19, 2024
  • Empirical-Bayes Public

    Empirical Bayes Mixtape Session taught by Christopher Walters

    Mixtape-Sessions/Empirical-Bayes’s past year of commit activity
    R 13 15 0 0 Updated Dec 19, 2024
  • Design-Based-Inference Public

    Design-Based Inference Mixtape Session taught by Peter Hull

    Mixtape-Sessions/Design-Based-Inference’s past year of commit activity
    TeX 40 12 0 0 Updated Dec 19, 2024
  • Demand-Estimation Public

    Demand Estimation taught by Jeff Gortmaker and Ariel Pakes

    Mixtape-Sessions/Demand-Estimation’s past year of commit activity
    Jupyter Notebook 77 40 0 0 Updated Dec 19, 2024

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